The 5 key concepts every cloud architect should know about LLM serving: PagedAttention, KV cache mechanics, continuous batching, MoE trade-offs, and real production numbers.
What TFLOPS actually measures, why FP16 matters for LLMs, and why the most important GPU bottleneck for inference isn't compute at all.
A practical walkthrough of two paths to working with Mistral â the managed API for fast prototyping and self-hosted deployment for full control â with real code covering prompting, model selection, function calling, RAG, and INT8 quantization.